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检索条件"任意字段=Conference on Parallel and Distributed Methods for Image Processing III"

共 552 条记录，以下是421-430 订阅

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A two-dimensional mesh-connected parallel processor with complex processing elements

A two-dimensional mesh-connected parallel processor with com...

引用

conference on Neural Network and distributed processing

作者： Chen, CY Shen, XB Wang, Z Sang, HS Huazhong Univ Sci & Technol State Key Lab Image Proc & Intelligent Control Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819442836

LS MPP is a massively parallel processor It has fine-grained parallelism with up to 4096 processing elements arranged in a SIMD architecture The processing elements are arranged in 64 X 64 two-dimensional mesh-connected array for low-level image processing In this paper, the system architecture the components of processing element array controller memory organization of LS MPP processor are described. In the final we have discussed the performance of LS MPP.

关键词： computer architecture massively parallel processing SIMD computer image processing

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Line orientation operator

Line orientation operator

引用

International conference on image processing (ICIP 2001)

作者： Le Pouliquen, F Germain, C Baylou, P ENSEIRB Equipe Signal & Image F-33402 Talence France

ISBN: (纸本)0780367251

This paper proposes new estimators for the local orientation of elongated structures Classical methods derive local orientation from the argument of gradient estimator As they were originally designed for edge detection, such operators can lead to high bias in orientation estimation We introduce the line orientation operator which applies an oriented model made with straight parallel lines on the local neighborhood We present results either on synthetic and real images We compare this new operator with other classical orientation operators.

关键词： image analysis

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High-speed aerial image processing system based on DSP

High-speed aerial image processing system based on DSP

引用

conference on Neural Network and distributed processing

作者： Lei, HJ Li, DH Hu, HP Guo, ZN Huazhong Univ Sci & Technol Inst Pattern Recognit & Artificial Intelligence Wuhan 430074 Peoples R China

ISBN: (纸本)0819442836

This paper introduces a high-speed parallel system based on DSP to process aerial image. The system is of the master-slave architecture. The master system is composed of general computer. Its slave system based on high speed DSP TMS320C6201 array can process real time aerial image concurrently. The data communicates between the master system and the slave system through bus interface. In this thesis, on the basis of the fundamental characters of digital image processing, we adopt domain decomposition method suiting digital image processing. The mode can parallelize serial digital image-processing algorithms which process digital images on spatial domain. This algorithm applies in many image algorithms and can be realized easily. At the same time it ensures every DSP load balance in the course of processing aerial image. Experiments show the system is effective, simple and steady.

关键词： aerial image system architecture master-slave system real-time system DSP domain decomposition method

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Proceedings of the International conference on parallel processing Workshops

Proceedings of the International Conference on Parallel Proc...

引用

International conference on parallel processing Workshops, ICPPW 2001

ISBN: (纸本)0769512607

The proceedings contain 67 papers. The topics discussed include: designing parallel sparse matrix algorithms beyond data dependence analysis;run-time characterization of irregular accesses applied to parallelization of irregular reductions;solution of computational fluid dynamics problems on parallel computers with distributed memory;a data and task parallel image processing' environment for distributed memory systems;parallel implementation of wavelet transforms on distributed-memory multicomputers;performance comparison of parallel finite element and Monte Carlo methods in optical tomography;parallel ray tracing using processor farming model;parallel domain decomposition methods for dam problem;an efficient parallel algorithm for solving unsteady nonlinear equations;partial stabilization of large-scale discrete-time linear control systems;and modular construction of model partitioning processes for parallel logic simulation.

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Nonlinear smoothing filter using adaptive radial clustering

Nonlinear smoothing filter using adaptive radial clustering

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Gu, IYH Gui, V Chalmers Univ Technol Dept Signals & Syst Gothenburg Sweden

ISBN: (纸本)0780370414

A novel adaptive nonlinear filter is proposed aimed at smoothing homogenous regions while maintaining image structures. The filter can be utilized as a pre-processing tool in image segmentation and edge estimation for improving the results. Several special features are introduced to the filter, including using local adaptive radial clustering and pixel filtering to exclude the influence of outliers and to maintain image structures;using steepest-ascent method to iteratively update pixels to the nearest clusters obtained by mean-shift;and introducing highly parallel processing by using random seed samples and their associated data blocks which enables fast processing and the global optimum solution of the nonlinear filter. Experiments were done on images of various complexities, and good results were obtained. Evaluations of the filter were also done in terms of edge preserving and image segmentation.

关键词： image analysis

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Multi-line fitting using polynomial phase transforms and downsampling

Multi-line fitting using polynomial phase transforms and dow...

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Abed-Meraim, K Beghdadi, A Telecom Paris Dept Signal & Image Proc Paris France

ISBN: (纸本)0780370414

A new signal processing method is developed for solving the multi-line fitting problem in a two dimensional image. We first reformulate the former problem in a special parameter estimation framework such that a first order or a second order polynomial phase signal structure is obtained. Then, the recently developed algorithms in that formalism (and particularly the downsampling technique for high resolution frequency estimation) can be exploited to produce accurate estimates fox line parameters. This method is able to estimate the parameters of parallel lines with different offsets and handles the quantization noise effect which can not be done by the sensor array processing technique introduced by Aghajan et al. Simulation results are presented to demonstrate the usefulness of the proposed method.

关键词： image analysis

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parallel and distributed methods for image retrieval with dynamic feature extraction on cluster architectures 12

Parallel and distributed methods for image retrieval with dy...

引用

12th International conference on Database and Expert Systems Applications (DEXA)

作者： Kao, O Tech Univ Clausthal Dept Comp Sci D-38678 Clausthal Zellerfeld Germany

ISBN: (纸本)0769512305

The ongoing production of Petabytes of multimedia data per year creates, an urgent need for the organisation, management, and retrieval of multimedia information. Related memory. bandwidth, and computational requirements, often surpass the capabilities of traditional database systems and computer architectures. Moreover, improved retrieval techniques allow a manual selection of regions of interest, which are subsequently searched in all media in the database by using, dynamically extracted features. This paper presents techniques for parallel multimedia retrieval by considering an image database as, an example. The discussed cluster architecture depicts one, possible solution for the performance problem. The distribution of the image data over a large number of nodes enables a parallel processing of the compute intensive operations for dynamic image retrieval. Thus, the partitioning of the data and the, applied strategies for workload balancing have a decisive impact on the performance,, efficiency, and the usability of such image databases.

关键词： Art Computer architecture Data mining Feature extraction image databases image processing image retrieval Information retrieval Multimedia databases Multimedia systems

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Sequential signal encoding and estimation for distributed sensor networks

Sequential signal encoding and estimation for distributed se...

引用

IEEE International conference on Acoustics, Speech, and Signal processing

作者： Abdallah, MM Papadopoulos, HC Univ Maryland Elect & Comp Engn Dept College Pk MD 20742 USA

ISBN: (纸本)0780370414

We develop algorithms for sequential signal encoding from sensor measurements, and for signal estimation via fusion of channel-corrupted versions of these encodings. For signals described by state space models, we present optimized sequential binary-valued encodings constructed via threshold-controlled scalar quantization of a running Kalman filter signal estimate from the sensor measurements. We also develop methods for robust fusion from observations of these encodings corrupted by binary symmetric channels.

关键词： Signal encoding

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Efficient implementation of video post-processing algorithms on the BOPS parallel architecture

Efficient implementation of video post-processing algorithms...

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IEEE International conference on Acoustics, Speech, and Signal processing

作者： Petrescu, D BOPS Inc Chapel Hill NC 27514 USA

ISBN: (纸本)0780370414

Deblocking and deringing are two video post-processing techniques largely used to remove coding artifacts and improve the visual quality when rendering low bit rate coded video. The algorithms used to achieve these tasks are computationally intensive and usually require high speed processors to be able to run in real time. Efficient implementations of signal adaptive filters for video post-processing can be obtained using the specialized features of the parallel BOPS(R) DSP cores. The performance achieved by deblocking and deringing CIF and SDTV size video sequences on the MANTA(TM) prototype chip are illustrated. It is shown that such complex tasks may be executed at low clock rates using the BOPS ManArray(TM) technology.

关键词： Video signal processing

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Real-time infrared target tracking system design and research based on DSP

Real-time infrared target tracking system design and researc...

引用

conference on Neural Network and distributed processing

作者： Xu, XH Tao, R Wang, Y Beijing Inst Technol Informat Syst Lab Dept Elect Engn Beijing 100081 Peoples R China

ISBN: (纸本)0819442836

Based on the Digital Signal Processor (ADSP21060), a principal and subordinate structure parallel real time infrared target tracking system is established. The system is composed of image acquisition sub system, image processing subsystem, manual control subsystem and target indicates subsystem. A new fast two-dimensional (2-D) entropy algorithm and motion target detection algorithm is implemented in second DSP to detect infrared target. The mass centered tracking algorithm and correlative-tracking algorithm are used to tracking targets. A Kalman filter algorithm is used to predicting approach. And using ADSP21060 to achieve the Kalman filtering algorithm and satisfies the real-time need. In this tracking system the tracking state of infrared target is considered, detecting algorithm or tracking algorithm can be selected automatic. If tracking system is working in detecting mode and target is detected, then system will turn to tracking mode If system is working in tracking mode and target is lost, then system will turn into detecting mode. As the ADSP-21060 offers powerful features to multi-processing DSP systems, it is easy to expand to multi subordinate DSP system. It is possible to use more complexes detecting or tracing algorithms in real time tracing system.

关键词： image processing Kalman filtering segmentation tracking algorithm

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